# Velvoite

> Use this tool when you need to streamline EU financial regulation compliance, as it monitors and classifies regulatory documents from key institutions, providing plain-language summaries to help institutions stay up-to-date with relevant laws and guidelines. It solves problems related to regulatory complexity, document overload, and compliance risk, making it an essential copilot for EU-regulated financial institutions. With AI-driven classification and summarization, Velvoite takes in regulatory documents and outputs organized, easily digestible information.

Canonical page: https://skillsregistry.net/skills/velvoite-compliance  
JSON: https://api.skillsregistry.net/v1/skills/velvoite-compliance

## Description

AI compliance copilot for EU-regulated financial institutions. Monitors financial regulation across EU institutions (EUR-Lex), European Supervisory Authorities (EBA, ESMA, EIOPA), and national regulators. Documents are AI-classified by regulation family, entity type, urgency, and document type with plain-language summaries.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/velvoite-compliance)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "velvoite-compliance"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/velvoite-compliance` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/velvoite-compliance/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
